This paper presents the solution approach for the optimal reconfiguration problemin distribution networks implementing Particle Swarm Optimization (PSO)technique.Network reconfiguration in distribution system is changing the status ofsectionalizing switches to reduce the power loss in the system. The main objective ofnetwork reconfiguration is to find the network topology which is having theminimum losses during any conditions exists in the network. A networkconfiguration is a valid solution to the problem if it satisfies reliability, security andother operation constraints.Particle Swarm Optimization is a robust stochastic evolutionary computationtechnique, which is based on the movement and intelligence of swarms.A standard particle swarm optimization algorithm is adapted and used in this work.The primary case study is a part of the Baghdad area distribution network. It consistsof four feeders and 102 buses. The algorithm validity is verified first via applicationto standard systems. Results show that the standard particle swarm optimization issuitable for off-line reconfiguration studies.

This paper presents the solution approach for the optimal reconfiguration problem in distribution networks implementing genetic algorithm technique. Network reconfiguration in distribution system is changing the status of sectionalizing switches to reduce the power loss in the system. The main objective of network reconfiguration is to find the network topology which have the minimum losses during any conditions exists in the network. A network configuration is a valid solution to the problem if it satisfies reliability, security and other operation constraints.A genetic algorithm is adapted and used in this work. The primary case study system is a part of the Baghdad area distribution network. It consists of main feeder, 6 laterals feeders and 48 buses. The algorithm validity is verified first via application to standard systems. Results show that the genetic algorithm is suitable for off-line reconfiguration studies.

Planning of electrical distribution networks is considered of highest priority at the present time in Iraq, due to the huge increase in electrical demand and expansions imposed on distribution networks as a result of the great and rapid urban development.Distribution system planning simulates and studies the behavior of electrical distribution networks under different operating conditions. The study provide understanding of the existing system and to prepare a short term development plan or a long term plan used to guide system expansion and future investments needed for improved network performance.The objective of this research is the planning of Al_Bayaa 11 kV distribution network in Baghdad city based on the powerful and efficient CYMDist software as a tool for the simulation and analysis of the network.The planning method proposed in this thesis is to reach the optimum operating conditions of the network by combining the network reconfiguration in sequence with the insertion of capacitors with optimal sizing and locations. The optimum performance of the network is achieved by reducing losses, improving voltage profile and alleviating overload for transformers and cables.